Radanovic, Goran

Bibliographic References tagged with Radanovic, Goran

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P. Tylkin, G. Radanovic, and D. C. Parkes,

“Learning Robust Helpful Behaviors in Two-Player Cooperative Atari Environments”, in Proc. 20th Int. Conf. on Auton. Agents and Multiagent Systems (AAMAS), 2021, pp. 1686–1688.

P. Tylkin, G. Radanovic, and D. C. Parkes,

“Learning Robust Helpful Behaviors in Two-Player Cooperative Atari Environments”, in Proc. 20th Int. Conf. on Auton. Agents and Multiagent Systems (AAMAS), 2021, pp. 1686–1688.

Y. Liu, G. Radanovic, C. Dimitrakakis, D. Mandal, and D. C. Parkes,

“Calibrated fairness in Bandits”, in Proceedings of the 4th Workshop on Fairness, Accountability, and Transparency in Machine Learning (Fat/ML 2017), 2017.

Y. Liu, G. Radanovic, C. Dimitrakakis, D. Mandal, and D. C. Parkes,

“Calibrated fairness in Bandits”, in Proceedings of the 4th Workshop on Fairness, Accountability, and Transparency in Machine Learning (Fat/ML 2017), 2017.

C. Dimitrakakis, D. C. Parkes, G. Radanovic, and P. Tylkin,

“Multi-View Decision Processes: The Helper-AI Problem”, in Proc. 30th Advances in Neural Information Processing Systems (NIPS’17), 2017, pp. 5449–5458.

C. Dimitrakakis, D. C. Parkes, G. Radanovic, and P. Tylkin,

“Multi-View Decision Processes: The Helper-AI Problem”, in Proc. 30th Advances in Neural Information Processing Systems (NIPS’17), 2017, pp. 5449–5458.

N. Saxena, K. Huang, E. DeFilippis, G. Radanovic, D. Parkes, and Y. Liu,

“How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness”, in Proceedings of AI Ethics and Society (AIES), 2019, pp. 99–106.

N. Saxena, K. Huang, E. DeFilippis, G. Radanovic, D. Parkes, and Y. Liu,

“How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness”, in Proceedings of AI Ethics and Society (AIES), 2019, pp. 99–106.

G. Radanovic, R. Devidze, D. Parkes, and A. Singla,

“Learning to Collaborate in Markov Decision Processes.”, in Proceedings of the 36th International Conference on Machine Learning (ICML’19), 2019, pp. 5261–5270.

G. Radanovic, R. Devidze, D. Parkes, and A. Singla,

“Learning to Collaborate in Markov Decision Processes.”, in Proceedings of the 36th International Conference on Machine Learning (ICML’19), 2019, pp. 5261–5270.

P. Tylkin, G. Radanovic, and D. C. Parkes,

“Learning Robust Helpful Behaviors in Two-Player Cooperative Atari Environments”, in NeurIPS 2020 workshop on Cooperative AI, 2020.

P. Tylkin, G. Radanovic, and D. C. Parkes,

“Learning Robust Helpful Behaviors in Two-Player Cooperative Atari Environments”, in NeurIPS 2020 workshop on Cooperative AI, 2020.

D. Mandal, G. Radanovic, and D. C. Parkes,

“The Effectiveness of Peer Prediction in Long-Term Forecasting”, in Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2020), 2020.

D. Mandal, G. Radanovic, and D. C. Parkes,

“The Effectiveness of Peer Prediction in Long-Term Forecasting”, in Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2020), 2020.

N. A. Saxena, K. Huang, E. DeFilippis, G. Radanovic, Y. Liu, and D. C. Parkes,

“How do fairness definitions fare? Testing public attitudes towards three algorithmic definitions of fairness in loan allocations.”, Artificial Intelligence, vol. 283, no. 103238, 2020.

N. A. Saxena, K. Huang, E. DeFilippis, G. Radanovic, Y. Liu, and D. C. Parkes,

“How do fairness definitions fare? Testing public attitudes towards three algorithmic definitions of fairness in loan allocations.”, Artificial Intelligence, vol. 283, no. 103238, 2020.